HbA1c – A predictor of dyslipidemia in type 2 Diabetes Mellitus

  • Saera Suhail Kidwai, Professor United Medical and Dental College https://orcid.org/0000-0002-5765-7906
  • Ayesha Nageen, Dr United Medical and Dental College
  • Farhat Bashir, Professor United Medical and Dental College
  • Jamal Ara, Professor United Medical and Dental College
Keywords: Type 2 Diabetes mellitus, Dyslipidemia, HbA1c, Lipid Profile

Abstract

Objective: This study was aimed to determine the predictive value of HbA1c in detecting dyslipidemia in patients with Type-2 Diabetes Mellitus.

Methods: A total of 142 consecutive patients of Type-2 diabetes mellitus were recruited in this study after informed consent. The study was conducted for 6 months from January 2019 – June 2019 in Creek General Hospital, Korangi, Creek, Karachi. Demographic data and detailed history was taken. A complete systemic examination was done for any complications or co-morbids present and related investigations were performed including Fasting lipid profile (CHO, TG’s, HDL, LDL, CHO/HDL), serum HbA1c, Creatinine and ECG. Data is analyzed on SPSS 16 for mean, frequencies and correlations. Pearsons Chi square test is used for analyses of Correlation

Results: In a total of 142 Type-2 diabetic patients 39(27.5%) were Males and 103(72.5%) were females with a male to female ratio of 1: 2.6. Mean age was 54.9yrs ± 10.7SD. Mean duration of diabetes was 7.37yrs ±5.64 SD years. Mean BMI is 26.8 ± 3.67kg/m2. 27(19.01%) patients had HbA1c ≤ 7% whereas 115(80.9%) had >7%. 81(57.04%) patients had dyslipidemia. HbA1c exhibited direct correlations with BMI, cholesterol, TG’s and LDL and inverse correlation with HDL with significant P value of <.05. TG’s were found significantly higher in females when compared with male patients. In addition, Metabolic syndrome also showed a strong correlation with increasing HbA1c levels especially in female gender (P0.001).

Conclusion: The results of our study indicates that HbA1c can be used not only as a useful biomarker of long-term glycaemic control but also a good predictor of lipid profile.

doi: https://doi.org/10.12669/pjms.36.6.2000

How to cite this:
Kidwai SS, Nageen A, Bashir F, Ara J. HbA1c – A predictor of dyslipidemia in type 2 Diabetes Mellitus. Pak J Med Sci. 2020;36(6):1339-1343. doi: https://doi.org/10.12669/pjms.36.6.2000

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Author Biographies

Saera Suhail Kidwai, Professor, United Medical and Dental College

Professor 

Department  of Medicine

Ayesha Nageen, Dr, United Medical and Dental College

Assistant Professor 

Department of Medicine 

Farhat Bashir, Professor, United Medical and Dental College

Professor

Department of Medicine

Jamal Ara, Professor, United Medical and Dental College

Professor 

Department of Medicine

Published
2020-08-20
How to Cite
Kidwai, S., Nageen, A., Bashir, F., & Ara, J. (2020). HbA1c – A predictor of dyslipidemia in type 2 Diabetes Mellitus. Pakistan Journal of Medical Sciences, 36(6). https://doi.org/10.12669/pjms.36.6.2000
Section
Original Articles